Skill-Profil eines fest angestellten Mitarbeiters des Dienstleisters
Einsatzorte
Einsatzorte
Deutschland, Schweiz, Österreich
möglich
Projekte
Projekte
1 Jahr 2 Monate
2024-10 - heute
Developement of a custom AI platform
Infrastructure EngineeringHelmArgoCDKubernetes...
Infrastructure Engineering
Developed a custom AI platform for Henkel employees, implementing a microservices architecture that integrates AI functionalities in Python with a front-end built using TypeScript and Angular.
Deployed the entire application ecosystem on Azure Cloud using Kubernetes.
Established Azure CI/CD pipelines to automate testing, build Docker images, and push them to a secure image registry.
Employed Infrastructure as Code (IaC) best practices with Terraform for provisioning and managing a Kubernetes cluster.
Leveraged ArgoCD within Kubernetes for continuous, automated deployment of microservices.
Deployed an App-of-Apps pattern using Helm charts in ArgoCD.
Development of an optimization framework for logistic work plans with genetic algorithms
Software Development & EngineeringJavaScala
Software Development & Engineering
Development of an optimization framework for logistic work plans with genetic algorithms
JavaScala
1 Jahr 6 Monate
2016-06 - 2017-11
Development of backend services for remote management of street lights
Software Development & EngineeringCFAWS...
Software Development & Engineering
Development of backend services for remote management of street lights
CFAWSKafkaKinesisDynamoDB
Position
Position
Principal Infrastrcuture Engineer, Software Developer, Architect, Lead
Kompetenzen
Kompetenzen
Schwerpunkte
Scala
Kubernetes
Java
AWS
Terraform
Docker
PostgreSQL
Typescript
Go
Rust
Python
Kafka
MongoDB
GCP
Security Flutter
Architect
Tech Lead
Azure
Einsatzorte
Einsatzorte
Deutschland, Schweiz, Österreich
möglich
Projekte
Projekte
1 Jahr 2 Monate
2024-10 - heute
Developement of a custom AI platform
Infrastructure EngineeringHelmArgoCDKubernetes...
Infrastructure Engineering
Developed a custom AI platform for Henkel employees, implementing a microservices architecture that integrates AI functionalities in Python with a front-end built using TypeScript and Angular.
Deployed the entire application ecosystem on Azure Cloud using Kubernetes.
Established Azure CI/CD pipelines to automate testing, build Docker images, and push them to a secure image registry.
Employed Infrastructure as Code (IaC) best practices with Terraform for provisioning and managing a Kubernetes cluster.
Leveraged ArgoCD within Kubernetes for continuous, automated deployment of microservices.
Deployed an App-of-Apps pattern using Helm charts in ArgoCD.